Predicting user demographics based on interest analysis in movie dataset
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18422-6.pdf
Reference31 articles.
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3. Bin Tareaf R, Berger P, Hennig P, Jung J, Meinel C (2017) Identifying audience attributes: predicting age, gender and personality for enhanced article writing. In: Proceedings of the 2017 international conference on cloud and big data computing, pp 79–88. https://doi.org/10.1145/3141128.3141129
4. Díez J, Martínez-Rego D, Alonso-Betanzos A, Luaces O, Bahamonde A (2019) Optimizing novelty and diversity in recommendations. Progress in Artificial Intelligence 8(1):101–109. https://doi.org/10.1007/s13748-018-0158-4
5. Dong Y, Yang Y, Tang J, Yang Y, Chawla NV (2014) Inferring user demographics and social strategies in mobile social networks. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining, pp 15–24. https://doi.org/10.1145/2623330.2623703
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